EY · 22 hours ago
Data Scientist-Tech Con-AI and Data-AI and Quan Modelling-Azure Data Scientist-Mgr-Mult Pos-1680332
San Jose, CA
Full-time
Onsite
Mid, Senior Level
$163K/yr - $163K/yr
4+ years expEY is a global leader in assurance, consulting, strategy, and transactions. The Data Scientist role focuses on solving complex analytical problems and enabling the use of machine learning and AI at scale for clients, while managing and motivating diverse teams to deliver quality client services.
AccountingAdviceBusiness IntelligenceConsultingFinancial ServicesProfessional Services
No H1B
U.S. Citizen Only
Responsibilities
Solve complex analytical problems in an effort to bring data to insights and enable the use of ML and AI at scale for clients
Assist with clients' data strategy, business priorities, and success measures to provide context for designing and building models
Translate business requirements to Data Science solutions leveraging strong business acumen
Apply technical knowledge to architect solutions that meet business needs, AA/AI roadmaps, and contributing to architectures that enable the ability to scale to support additional modelling use cases
Collaborate with Microsoft Cloud Solution Architects and Data Platform Engineers in developing complex end-to-end Enterprise solutions on Microsoft Azure platform
Design machine learning pipelines that curate datasets, train, test, and validate models, compare model performance to existing or previously catalogued models, and then package the models and either deploy them to a real-time serving layer or handle batch scoring activities
Provide directional guidance and recommendations around data technology, data models, data storage and data analytics
Stay abreast of current business and industry trends relevant to the client's business
Manage and motivate teams of professionals with diverse skills and backgrounds
Consistently deliver quality client services by monitoring progress
Demonstrate in-depth technical capabilities and professional knowledge
Maintain long-term client relationships and networks
Cultivate business development opportunities
Qualification
Required
Must have a Bachelor's degree in Mathematics, Information Systems, Statistics, Computer Science, Data Science, Machine Learning, Analytics, Engineering or a related field and 5 years of progressive, post-baccalaureate advisory and/or consulting work experience
Alternatively, will accept a Master's degree in Mathematics, Information Systems, Statistics, Computer Science, Data Science, Machine Learning, Analytics, Engineering or a related field and 4 years of advisory and/or consulting work experience
Must have 4 years of combined experience with data science, AI, and/or data engineering or big data
Must have 2 years of combined experience with 3 of the following: machine learning such as k-NN, naive bayes, decision trees, or SVM; data mining and statistical tools; pattern recognition and predictive modelling; recommendation engines, scoring systems, A/B testing; setting up data and experimental platforms
Must have 1 year of experience with analytics and big data technologies within Microsoft Azure, using tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks, or Azure Synapse Analytics
Must have 1 year of experience with leveraging distributed techniques for training and scoring machine learning models using Azure Databricks
Must have 1 year of experience with any of the following cloud Machine Learning frameworks and tools such as Tensor Flow, PyTorch, ONNX, Weka, NumPy, or PyMongo
Must have 1 year of experience with Model Management, such as Azure ML service or MLFlow and deployment of models using Azure Kubernetes Service
Must have 1 year of experience working in Python, R, Scala, or T-SQL
Must have 2 years of experience counselling and mentoring junior level consultants by providing structured, on-the-job feedback
Requires domestic travel up to 70% to serve client needs
Benefits
Medical and dental coverage
Pension and 401(k) plans
Wide range of paid time off options
Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
Company
EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Jonathan Williamson
Chief Operating Officer
Abhishek Sen
Partner
Recent News
2026-01-16
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